AI+ Program Director &#8211; Practitioner™

Category	AI Business AI Professional AI Technical All Courses English Language Program Director
Program Name	AI+ Program Director – Practitioner™
Prerequisites	AI Fundamentals: Basic AI/ML concepts and terminology familiarity. Project Management: Experience managing projects, timelines, and stakeholders. Business Strategy: Understanding of business strategy and KPI-driven decision-making. Governance & Compliance: Working knowledge of data privacy, risk, and compliance. Leadership & Change: Comfort with cross-functional leadership and change management.
Exam Format	50 questions, 70% passing, 90 minutes

What You'll Learn

AI Program Management
Learn how to lead AI programs from strategy to execution, ensuring alignment with business objectives and optimizing resource use.
Cross-Functional Team Leadership
Gain skills in managing cross-disciplinary teams, coordinating between technical and non-technical stakeholders to deliver AI-driven projects.
AI Integration and Implementation
Understand how to integrate AI solutions into existing business systems, streamlining processes and enhancing operational efficiency.
Risk and Compliance Management
Learn how to assess and mitigate risks associated with AI projects while ensuring compliance with data privacy, security, and ethical standards.
Performance Evaluation and Optimization
Develop the ability to measure AI project success, optimize performance, and ensure that outcomes align with strategic business goals.

Certification Modules

Module 1: Foundations of AI for Program Strategy – Introduction

1.1 Understanding of AI, ML, and Deep Learning
1.2 AI Lifecycle & Real-World Applications
1.3 Societal Impact of AI
1.4 Use Case: Triage System (AI for Emergency Services)
1.5 Case Study: Retail Recommendation System (Personalizing Customer Experience)
1.6 Hands-on: Use Teachable Machine to Build a Simple AI Classifier

Module 2: Identifying AI Opportunities & Use Cases

2.1 Introduce AI Strategy Alignment Frameworks: AI Canvas, Value vs Feasibility Matrix
2.2 Signs That a Process May Benefit from AI: Repetitive Tasks, Data-Rich Environments, Personalization Needs
2.3 Prioritization Techniques: Weighted Scoring, Risk-Adjusted ROI
2.4 Use-Case: Financial AI – Fraud Detection Systems Using AI
2.5 Case Study: AI-Driven Project Management System for a Program Director
2.6 Hands-on: Use Trello to Create a Board and Prioritize AI Opportunities Within a Given Scenario

Module 3: Governance & Ethics in AI

3.1 Responsible AI Principles
3.2 AI Bias & Risk Mitigation
3.3 Use-case: Auditing Bias in AI-Powered Recruitment to Ensure Fair Hiring
3.4 Case Study: Mitigating Algorithmic Bias in Credit Scoring Models to Ensure Fair Lending Practices
3.5 Hands-on: Use Google’s What-If Tool in Google Colab to Evaluate Model Fairness and Bias

Module 4: AI Project Lifecycle & Integration

4.1 AI Project Planning & CRISP-DM
4.2 Integration: Build vs Buy vs Partner
4.3 AI Project Management Tools
4.4 Use Cases: AI for Predictive Maintenance (Asset Management in Manufacturing)
4.5 Tool-Based Hands-on Activity: Simulate an AI Project in Asana

Module 5: Data Strategy & Infrastructure for AI

5.1 Data Governance & Quality
5.2 Setting up Data Pipelines for AI
5.3 Sensitive Data Management
5.4 Use Case: Retail Inventory System — AI-driven Restocking and Demand Prediction
5.5 Case Study: Healthcare Data Security — Managing Patient Privacy in AI-Based Healthcare Systems
5.6 Tool-Based Hands-on Activity: Set up Airbyte Cloud and Build a Basic Data Pipeline

Module 6: AI Integration — Build vs Buy vs Partner

6.1 Evaluating AI Solutions
6.2 Vendor Evaluation & Management
6.3 Use Case: AI Vendor Selection — Choosing Predictive Maintenance Solutions for a Manufacturing Plant
6.4 Tool-Based Hands-on Activity: Use a Vendor Selection Template to Evaluate AI Vendors (Google Sheets)

Module 7: AI Risk Management & Compliance

7.1 Regulatory Frameworks
7.2 Bias Detection & Mitigation
7.3 Use Case: Facial Recognition Bias (Law Enforcement Systems)
7.4 Case Study: AI in Finance: Ensuring Compliance in AI Deployments
7.5 Tool-Based Hands-on Activity: Bias Testing & Fairness Evaluation Using KNIME and Google PAIR Facets Fairness Explorer

Module 8: AI Tools & Techniques for Project Management

8.1 AI Project Management Tools
8.2 Data Management Tools
8.3 Case Study and Use Case: AI Workflow Management: Using project management tools for AI deployment in the retail sector
8.4 Tool-Based Hands-on Activity: Use Asana to simulate project timelines, setting up tasks and milestones for an AI initiative

Module 9: Leadership in AI

9.1 Leading AI Teams & Change Management
9.2 Managing Stakeholders & Communication
9.3 Use Case: AI in Manufacturing: Leading AI Implementation in a Large-Scale Manufacturing Operation
9.4 Tool-Based Hands-on Activity: Use Miro to Map Stakeholder Communication Strategies and Identify Key Influencers

Module 10: Scaling AI Initiatives

10.1 From Pilot to Full-Scale Deployment
10.2 Organizational Maturity Models for AI
10.3 Use Case: Scaling AI in Retail: Expanding AI-driven Recommendations Globally
10.4 Tool-Based Hands-on Activity: Create a Scaling Roadmap Using Lucidchart Outlining Key steps in Scaling AI Initiatives.

Module 11: Future Trends in AI

11.1 Emerging AI Technologies
11.2 Use Case / Case Study: AI in Autonomous Vehicles: The future of AI in self-driving cars
11.3 Tool-Based Hands-on Activity: Explore Hugging Face Transformers for NLP and TensorFlow for Deep Learning Applications

Module 12: Capstone Project & Presentation

12.1 Capstone Project Overview
12.2 Presentation & Feedback
12.3 Final Review & Certification – Method, Process, and Feedback Mechanism

Industry Opportunities

AI Program Manager
Lead AI projects, ensuring alignment with organizational goals, managing timelines, and optimizing resources for successful AI program delivery.
AI Integration Specialist
Oversee the integration of AI solutions into existing systems, optimizing processes and ensuring smooth adoption across departments.
AI Strategy Consultant
Advise organizations on AI strategies, helping them align AI initiatives with business objectives to drive innovation and enhance efficiency.
AI Transformation Leader
Guide organizations through the AI adoption process, managing change and ensuring successful transformation using AI-powered solutions.
AI Portfolio Manager
Manage a portfolio of AI projects, balancing resources, timelines, and risks to ensure the successful execution and scaling of AI initiatives across the business.

Frequently Asked Questions

Yes, you’ll gain practical experience in managing AI projects, leading teams, and executing AI strategies, allowing you to apply these skills to real-world AI initiatives right away.

The AI + Program Director Practitioner course is tailored to developing leadership and management skills for AI projects, focusing on strategic planning, team coordination, and effective communication with stakeholders, rather than just the technical aspects of AI.

You’ll work on projects like creating AI strategies, managing project lifecycles, leading teams, and implementing AI governance, ensuring AI initiatives align with business goals.

The course blends leadership concepts with practical AI management through case studies, simulations, and hands-on exercises, helping you lead AI projects effectively.

This course prepares you for roles like AI Program Director or AI Project Manager, equipping you with the skills to lead AI initiatives and manage AI projects across industries.

Exam Blueprint

Foundations of AI for Program Strategy - Introduction	5%
Identifying AI Opportunities & Use Cases	9%
Governance & Ethics in AI	9%
AI Project Lifecycle & Integration	9%
Data Strategy & Infrastructure for AI	9%
AI Integration: Build vs Buy vs Partner	9%
AI Risk Management & Compliance	9%
AI Tools & Techniques for Project Management	9%
Leadership in AI	8%
Scaling AI Initiatives	8%
Future Trends in AI	8%
Capstone Project & Presentation	8%